Evidence map›Paper›PMID 31709123›Full record

ArticleStroke and vascular neurology2019

The Third China National Stroke Registry (CNSR-III) for patients with acute ischaemic stroke or transient ischaemic attack: design, rationale and baseline patient characteristics.

Yongjun Wang, Jing Jing, Xia Meng, Yuesong Pan, Yilong Wang, Xingquan Zhao, Jinxi Lin, Wei Li, Yong Jiang, Zixiao Li and 10 more

Abstract readMulticenter Study
In one paragraph

Article in Stroke and vascular neurology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 200 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
200citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

200 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  15. TheJournal of the American Heart Association · 2026
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140 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

20 authors.

Yongjun WangDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.ORCID 0000-0002-9976-2341
Jing JingDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Xia MengDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Yuesong PanDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Yilong WangDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Xingquan ZhaoDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Jinxi LinDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Wei LiDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Yong JiangDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Zixiao LiDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Xinmiao ZhangDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Xiaomeng YangDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Ruijun JiDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Chunjuan WangDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Zhimin WangDepartment of Neurology, The First people's Hospital of Taizhou, Taizhou, China.
Xinsheng HanDepartment of Neurology, The Kaifeng Central Hospital, Kaifeng, China.
Songdi WuDepartment of Neurology, The First People's Hospital of Xi'an, Xi'an, China.
Zhengchang JiaDepartment of Neurology, The Second People's Hospital of Jinzhong, Jinzhong, China.
Yongming ChenDepartment of Neurology, WuYuan County People's Hospital, Bayannur, China.
Hao LiDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and purpose: Stroke is the leading cause of mortality and disability in China. Precise aetiological classification, imaging and biological markers may predict the prognosis of stroke. The Third China National Stroke Registry (CNSR-III), a nationwide registry of ischaemic stroke or transient ischaemic attack (TIA) in China based on aetiology, imaging and biology markers, will be considered to clarify the pathogenesis and prognostic factors of ischaemic stroke. Methods: Between August 2015 and March 2018, the CNSR-III recruited consecutive patients with ischaemic stroke or TIA from 201 hospitals that cover 22 provinces and four municipalities in China. Clinical data were collected prospectively using an electronic data capture system by face-to-face interviews. Patients were followed for clinical outcomes at 3 months, 6 months and 1-5 year annually. Brain imaging, including brain MRI and CT, were completed at baseline. Blood samples were collected and biomarkers were tested at baseline. Results: A total of 15 166 stroke patients were enrolled, among which 31.7% patients were women with the average age of 62.2±11.3 years. Ischaemic stroke was predominant (93.3%, n=14 146) and 1020 (6.7%) TIAs were enrolled. Conclusions: CNSR-III is a large scale nationwide registry in China. Data from this prospective registry may provide opportunity to evaluate imaging and biomarker prognostic determinants of stroke.

Indexed as

BiomarkersNeuroimagingResearch DesignAgedChinaDisability EvaluationFemaleHumansIschemic Attack, TransientIschemic StrokeMaleMiddle AgedPredictive Value of TestsPrognosisProspective StudiesRegistriesBiomarkersbiomarkeroutcomeregistrystroketransient ischaemic attack

Identifiers

PMID31709123
PMCPMC6812638

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.